Artificial intelligence (AI) and machine learning (ML) have been having quite the impact on most industries in the last couple of years, but what about our own IT industry? In this webcast find out how the rise of machine learning has created a new type of demand on IT operations teams as well as how those same teams can utilize new insights and capabilities driven by machine learning. We will explore:

In this webcast, we will explore why your storage may be acting strangely now that it’s been subjected to the whims of data scientists. We’ll look at how and why the I/O patterns have changed, where this will lead, and some of the tactics and strategies you can deploy now to prevent impact from this new movement of storage saboteurs!

More and more we are seeing compute and inference move to the edge. This is driven by the growth in capability to not only generate data from sensors, devices and by people operating in the field, but also by the interaction between those devices.

This new source of data and information brings with it unique challenges to the way we store and transmit data as well as the way we need to curate it. In this webcast we will look at:

There is a new wave of cognitive services based on video and image analytics, leveraging the latest in machine learning and deep learning. In this webcast, we will look at some of the benefits and factors driving this adoption, as well as explore compelling projects and required components for a successful video-based cognitive service. This includes some great work in the open source community to provide methods and frameworks, some standards that are being worked on to unify the ecosystem and allow interoperability with models and architectures.

Start-up companies interested in using business analytics have a series of choices regarding different hardware, software, and services available in the cloud. The decision process for established companies, though, is more significant. Considering whether to use existing practices or start anew creates multiple decision points in any process. This SNIA webcast will feature views from both start-up and established companies on how to make the analytics decision. Attendees should expect to learn:

As noted in our panel discussion “What is Confidential Computing and Why Should I Care?,” Confidential Computing is an emerging industry initiative focused on helping to secure data in use. The efforts can enable encrypted data to be processed in memory while lowering the risk of exposing it to the rest of the system, thereby reducing the potential for sensitive data to be exposed while providing a higher degree of control and transparency for users.

The convergence of 5G, Edge Compute and Artificial Intelligence (AI) promise to be catalyst for Digital transformation within industrial segments. Advanced 5G is specifically designed to address the needs of verticals with capabilities like enhanced mobile broadband (emBB), ultra-reliable low latency communications (urLLC), and massive machine type communications (mMTC), to enable near real-time distributed intelligence applications.

As the computational performance of modern supercomputers is approaching the ExaFLOPS level (10**18 floating point operations per second), the demands on the storage systems that feed these supercomputers continue to increase. On top of traditional HPC simulation workloads, more and more supercomputers are also designed to simultaneously satisfy new data centric workflows with very different I/O characteristics.